Senior GenAI Software Architect

Job Details

Ready to architect the future of artificial intelligence? Step into the future as a Senior GenAI Software Architect where cutting‑edge artificial intelligence meets real‑world impact. You'll architect breakthrough machine learning products that deliver descriptive, diagnostic, predictive, and prescriptive models, transforming complex data into actionable intelligence across data analytics, computer vision, and robotics.

• Build Intelligence:
  Develop sophisticated GenAI solutions using supervised/unsupervised learning, deep learning, reinforcement learning, and Bayesian analysis
• Collaborate & Innovate:
  Work directly with users to define requirements for breakthrough products and solutions
• Full‑Stack Development:
  Translate ML models into production software through programming, testing, debugging, documentation, and deployment
• Optimize Performance:
  Fine‑tune GenAI workloads for edge devices using xPU accelerators
• Customer Success:
  Support partners in GenAI workflow design and deployment
• Results‑driven:
  Customer‑focused problem‑solving mindset
• Core Technologies:
  Python mastery with Lang Chain, Llama Index, Auto Gen, Hugging Face APIs; AI Infrastructure: RAG pipelines, vector databases (FAISS, Chroma), embedding techniques
• Model Expertise:
  Local LLMs (Mistral, Llama), fine‑tuning, performance optimization
• Human‑AI Interface: UX/UI design, prompt engineering for optimal interaction

• Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, Data Science, or a related technical field.
• 4+ years hands‑on AI/ML algorithm development experience
• 3+ years specialized experience in NLP, LLM‑based systems, or AI agent development

• GenAI algorithms, solution architecture, and performance tuning
• Building custom AI tools, agents, or apps for real‑world use cases
• Python skills with GenAI frameworks (Lang Chain, Llama Index, Auto Gen, Hugging Face)
• RAG pipelines and vector databases

• Master’s degree or PhD in Computer Science, AI, or a related technical field.
• Experience optimizing GenAI workloads for edge devices using xPU accelerators
• Experience with local LLMs (Mistral, Llama) and fine‑tuning open‑source models
• Customer/partner support for GenAI workflow design and deployment experience
• Client AI tools, cross‑platform agents, or plugin ecosystems experience
• Experience in UX/UI design or prompt engineering for human‑AI interaction
• Multiple ML methodologies (reinforcement learning, Bayesian analysis)

Experienced Hire

Shift 1 (United States of America)

US, Oregon, Hillsboro

US, California, Santa Clara

The Client Computing Group (CCG) is responsible for driving business strategy and product development for Intel's PC products and platforms, spanning form factors such as notebooks, desktops, 2 in 1s, all in ones. Working with our partners across the industry, we intend to deliver purposeful computing experiences that unlock people's potential – allowing each person use our products to focus, create and connect in ways that matter most to them.

All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.

We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation. Find out more about the benefits of working ual Salary Range for jobs which could be performed in the US: $ -  USD. The range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations.

Within the range, individual pay is determined by work location and additional factors, including job‑related skills, experience, and…